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HASK | COLLOCATION  DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
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Part of speech:
Collocate's part of speech:
excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. join join
joined
joining
Verb 20 4.11 12.29 211.87 0.67 13 6,569,599 8.27
2. state state
stated
states
Verb 6 2.06 7.82 26.58 0.43 4 19,597,388 2.77
3. enter enter
entered
Verb 5 1.65 6.57 10.37 0.48 4 15,181,872 3.58
4. allow allow
allowed
allowing
Verb 5 0.82 5.3 1.07 0.56 5 20,754,210 2.62
5. include include
includes
Verb 5 0.76 5.24 0.87 0.34 3 32,671,661 1.66
6. provide provides Verb 5 0.12 4.72 0.01 0.34 3 19,845,566 2.74
7. should should Verb 9 -0.43 6.15 0.16 0.64 8 15,161,706 3.59
8. may may Verb 5 -2.52 3.55 3.02 0.48 4 22,361,025 2.43
9. come came
come
comes
Verb 5 -3.87 3.2 5.55 0.56 5 22,490,578 2.42
10. would would Verb 11 -5 5.59 10.21 0.5 7 17,467,993 3.11
11. take take
taken
Verb 5 -5.09 2.93 8.02 0.56 5 17,818,265 3.05
12. will will Verb 9 -5.16 4.9 10 0.55 6 11,595,422 4.69
13. have had
has
have
Verb 67 -6.48 11.29 26.16 0.7 27 3,573,086 15.21
14. do did
do
does
Verb 11 -11.86 4.72 32.14 0.59 7 11,306,471 4.81
15. be are
be
been
being
is
was
were
Verb 121 -24.23 12.16 274.65 0.69 37 2,402,793 22.62
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